Ben Upcroft
Impact in
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- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Advanced Vision and Imaging
- Aerospace Engineering top 0.5%
- Robotics and Sensor-Based Localization
Papers in
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- Advanced Image and Video Retrieval Techniques 22
- Advanced Vision and Imaging 17
- Robotic Path Planning Algorithms 11
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- Robotics and Sensor-Based Localization 47
- Co-authors
- Zongyuan Ge (2 shared papers)Alex Bewley (9 shared papers)Fábio Ramos (14 shared papers)Lionel Ott (2 shared papers)Feras Dayoub (14 shared papers)Chris McCool (8 shared papers)Tristán Pérez (6 shared papers)Michael Milford (17 shared papers)
- Journals
- Journal of Field Robotics (5 papers)Physical Review A (2 papers)IEEE Robotics and Automation Letters (2 papers)IEEE Transactions on Robotics (2 papers)Nature (2 papers)
- Partner nations
- AustraliaUnited StatesSwitzerland
In The Last Decade
Ben Upcroft
114 papers receiving 6.3k citations
Ben Upcroft's Hit Papers
Peers
Comparison fields: 5 of 153
- Computer Vision and Pattern Recognition 3.4k
- Aerospace Engineering 1.9k
- Analytical Chemistry 380
- Plant Science 1.3k
- Geology 193
Countries citing papers authored by Ben Upcroft
This map shows the geographic impact of Ben Upcroft's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ben Upcroft with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Upcroft more than expected).
Fields of papers citing papers by Ben Upcroft
This network shows the impact of papers produced by Ben Upcroft. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ben Upcroft. The network helps show where Ben Upcroft may publish in the future.
Co-authors
The 25 scholars most cited alongside Ben Upcroft, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Simple online and realtime tracking Hit paper breakdown → | 2016 | 2319 |
| 2 | DeepFruits: A Fruit Detection System Using Deep Neural Networks Hit paper breakdown → | 2016 | 821 |
| 3 | On the performance of ConvNet features for place recognition Hit paper breakdown → | 2015 | 373 |
| 4 | The limits and potentials of deep learning for robotics Hit paper breakdown → | 2018 | 312 |
| 5 | 2001 | 257 | |
| 6 | 2015 | 255 | |
| 7 | 2017 | 210 | |
| 8 | 2017 | 137 | |
| 9 | 2016 | 112 | |
| 10 | 2016 | 104 | |
| 11 | 2017 | 93 | |
| 12 | 2015 | 91 | |
| 13 | 2016 | 85 | |
| 14 | 2014 | 79 | |
| 15 | 2016 | 71 | |
| 16 | 2016 | 62 | |
| 17 | 2014 | 61 | |
| 18 | 2017 | 54 | |
| 19 | 2006 | 34 | |
| 20 | 2017 | 32 |
About Ben Upcroft
Ben Upcroft is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence, Plant Science and Computer Networks and Communications, having authored 115 papers that have together received 6.5k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (47 papers), Target Tracking and Data Fusion in Sensor Networks (22 papers), Advanced Image and Video Retrieval Techniques (22 papers), Advanced Vision and Imaging (17 papers), Smart Agriculture and AI (13 papers), Robotic Path Planning Algorithms (11 papers), 3D Surveying and Cultural Heritage (8 papers) and Remote-Sensing Image Classification (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.4k citations), Aerospace Engineering (1.9k citations), Analytical Chemistry (380 citations), Plant Science (1.3k citations) and Geology (193 citations). Ben Upcroft has collaborated with scholars based in Australia, United States and Switzerland. Frequent co-authors include Zongyuan Ge, Alex Bewley, Fábio Ramos, Lionel Ott, Feras Dayoub, Chris McCool, Tristán Pérez, Michael Milford, Inkyu Sa and Niko Sünderhauf. Their work appears in journals such as Journal of Field Robotics, Physical Review A, IEEE Robotics and Automation Letters, IEEE Transactions on Robotics and Nature.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.